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st: RE: Re: survival analysis


From   "Kieran McCaul" <Kieran.McCaul@uwa.edu.au>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: survival analysis
Date   Tue, 25 Aug 2009 11:30:15 +0800

...

The remaining observations have been censored prior to the last exit
time (t=96).

Also, the survival curve is relatively straight which would suggest a
constant risk of failure over time or, more precisely, a constant hazard
over time. 


______________________________________________
Kieran McCaul MPH PhD
WA Centre for Health & Ageing (M573)
University of Western Australia
Level 6, Ainslie House
48 Murray St
Perth 6000
Phone: (08) 9224-2701
Fax: (08) 9224 8009
email: Kieran.McCaul@uwa.edu.au
http://myprofile.cos.com/mccaul 
http://www.researcherid.com/rid/B-8751-2008
______________________________________________
If you live to be one hundred, you've got it made.
Very few people die past that age - George Burns

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Tina
Hernandez-Boussard
Sent: Tuesday, 25 August 2009 11:03 AM
To: statalist@hsphsun2.harvard.edu
Subject: st: Re: survival analysis

Sorry, to add more detail, here are my data

------------------------------------------------------------------------
------
       397  total obs.
         0  exclusions
------------------------------------------------------------------------
------
       397  obs. remaining, representing
       58  failures in single record/single failure data
    8262.5  total analysis time at risk, at risk from t =         0
                              earliest observed entry t =         0
                                   last observed exit t =        96

So if I only have 58 failures out of 397 obs, why is my survival curve
look like this:


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